Abstract: [Purpose/Significance] This paper conducts a research on the management issues of complex scientific data in interdisciplinary fields, aiming to provide theoretical model perspective references for the initiation and development of interdisciplinary scientific data management in China. [Design/Methodology] Based on content analysis, this paper examines the characteristics of interdisciplinary scientific data and the associated data management requirements. Through an online survey, it investigates the current state of interdisciplinary scientific data management in China. Then combining life cycle theory and stakeholder theory, it constructs a unified model for the management of interdisciplinary scientific data. [Findings/Conclusion] Domestic interdisciplinary scientific data management exhibits deficiencies in terms of data standardization, data analysis, data annotation, and data sharing. A unified model for the management of interdisciplinary scientific data can be constructed by examining the data usage and sharing processes, as well as the data management behaviors of their respective subjects. To advance the development of interdisciplinary scientific data management, efforts should be focused on establishing data standards, emphasizing data analysis, annotating data characteristics and promoting data sharing.[Originality/Value] This paper constructs an integrated model for the management of interdisciplinary scientific data, delineates the processes and objectives of data management, also explores the future development directions in this field.

Keywords: Interdisciplinary, Data characteristics, Data management requirements, Scientific data management